Song Huang

About

Song Huang is a scholar working on Mechanical Engineering, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Song Huang has authored 24 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Artificial Intelligence and 4 papers in Mechanics of Materials. Recurrent topics in Song Huang’s work include Gear and Bearing Dynamics Analysis (4 papers), Mechanical stress and fatigue analysis (4 papers) and Scheduling and Optimization Algorithms (3 papers). Song Huang is often cited by papers focused on Gear and Bearing Dynamics Analysis (4 papers), Mechanical stress and fatigue analysis (4 papers) and Scheduling and Optimization Algorithms (3 papers). Song Huang collaborates with scholars based in China and United States. Song Huang's co-authors include Huaming Liu, Zeqi Hu, Song Deng, Mao Ni, Na Tian, Zhicheng Ji, Lin Hua, Yongliang Wang, Zhang Jiang and Xinghui Han and has published in prestigious journals such as IEEE Access, Review of Scientific Instruments and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Co-authorship network of co-authors of Song Huang i

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Fields of papers citing papers by Song Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Song Huang. The network helps show where Song Huang may publish in the future.

Countries citing papers authored by Song Huang

Since Specialization

Citations

This map shows the geographic impact of Song Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Song Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Huang more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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